Utterance Selection Module


See also: 

Modules


Summarization of spontaneous conversations [PDF] from utoronto.ca X Zhu… – Ninth International Conference on Spoken …, 2006 – isca-speech.org … spontaneous speech, our summarizer copes with them. Instead of removing them immediately as in [2], disfluency information is fed into the utterance selection module together with other features. Later, if the summaries are presented … Cited by 32 – Related articles – All 4 versions

[PDF] A critical reassessment of evaluation baselines for speech summarization [PDF] from aclweb.org G Penn… – Proceedings of ACL-HLT. Columbus, OH, 2008 – aclweb.org … To obtain a trainable utterance selection module that can utilize and compare rich features, we formu- lated utterance selection as a standard binary clas- sification problem, and experimented with several state-of-the-art classifiers, including linear discrim- inant analysis LDA … Cited by 25 – Related articles – View as HTML – All 13 versions

Remote education based on robot edutainment A Yorita, T Hashimoto, H Kobayashi… – Progress in Robotics, 2009 – Springer … lecture mode. The proposed conversation system used in the interaction mode is composed of three interrelated modules; (1) topic selection modules, (2) conversation control mod- ule, and (3) utterance selection module. The … Cited by 3 – Related articles – All 3 versions

Summarizing Spoken Documents Through Utterance Selection [PDF] from utoronto.ca X Zhu – 2010 – tspace.library.utoronto.ca Page 1. SUMMARIZING SPOKEN DOCUMENTS THROUGH UTTERANCE SELECTION by Xiaodan Zhu A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Department of Computer Science University of Toronto … Cited by 2 – Related articles – All 3 versions

Conversation system based on Boltzmann selection and Bayesian networks for a partner robot N Kubota… – … Communication, 2009. RO-MAN 2009. The …, 2009 – ieeexplore.ieee.org … This paper proposes a conversation system composed of topic selection module, conversation control module and utterance selection module. … We apply conversation system composed of topic selection modules, conversation control module and utterance selection module. … Related articles

Conversation system for robot partners based on informationally structured space N Kubota, T Mori… – Robotic Intelligence In …, 2011 – ieeexplore.ieee.org … We apply conversation system composed of topic selection modules, conversation control module and utterance selection module. … The daily conversation mode is performed by conversation control module and utterance selection module. … Related articles

[PDF] Ecologically Valid Evaluation of Speech Summarization [PDF] from utoronto.ca A McCallum, C Munteanu, G Penn… – cs.utoronto.ca … A binary logistic regression classifier is used to train an utterance selection module that can make use of various lexical (MMR score, utterance length, etc.), structural (utterance position, etc.), and acoustic (pitch, energy, speaking rate, etc.) features, among others. … Related articles – View as HTML – All 2 versions

[DOC] Improving Speech Recognizer Performance in a Dialog System Using [DOC] from cmu.edu A Chotimongkol – cs.cmu.edu … The reranked concept error rate is 9.68%, which is a 1.22% relative improvement from the baseline. Adding an utterance selection module into a reranking process did not improve the reranking performance beyond the number achieved by reranking every utterance. … Related articles – View as HTML – All 3 versions